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1. populations_paper_code populations_paper_code Public

   Forked from adrian-valente/populations_paper_code

   Low-rank RNN training code and experiments for "The role of population structure in computations through neural dynamics"

   Jupyter Notebook 1

2. lowrank_inference lowrank_inference Public

   Forked from adrian-valente/lowrank_inference

   Fitting low-rank RNNs to neural trajectories (LINT method).

   Jupyter Notebook

3. multi-area-ctx multi-area-ctx Public

   Forked from jmourabarbosa/multi-area-ctx

   python notebooks to replicate the main figures

   Jupyter Notebook

4. Relating_Local_Conn_Global_Dyns Relating_Local_Conn_Global_Dyns Public

   Forked from shaonannan/Relating_Local_Conn_Global_Dyns

   Relating local connectivity and global dynamics in EI networks

   Python

5. shaping-dyns-low-rank shaping-dyns-low-rank Public

   Code for Shaping Dynamics With Multiple Populations in Low-Rank Recurrent Networks (2021)

   Python

6. parametric_control_timing parametric_control_timing Public

   Code for Parametric control of flexible timing through low-dimensional manifolds (2023)

   Python